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Solutions Architect, AI/ML

🕒 Outubro 28

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

💻 Engenheiro de Soluções

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Fidus Systems

51 - 200 funcionários

Fundada em 2001

💼 Consultoria

🏥 Saúde

🏭 Manufatura

Consulting • Healthcare • Manufacturing

A Fidus Systems é uma empresa que oferece serviços abrangentes de design eletrônico e de hardware para fabricantes de eletrônicos. Eles se especializam em design de FPGA, design de ASIC, verificação e validação, com capacidades em software embarcado, hardware, layout de PCB, integridade de sinal e potência e design mecânico e térmico. A Fidus Systems é hábil em trabalhar com tecnologias líderes como AMD e Intel, transformando conceitos em produtos de alta confiabilidade para indústrias de alta demanda, como aeroespacial, telecomunicações, dispositivos médicos e eletrônicos de consumo. A empresa é conhecida por ajudar os clientes a acelerar designs complexos através de suas capacidades especializadas e modelos de engajamento flexíveis.

Descrição

• Understand technical project requirements for existing and potential clients • Assess whether client opportunities are a good fit • Develop solution paths after assessing opportunity fit • Prepare estimates for required work • Identify project risks and mitigation strategies • Work directly with clients to understand and develop requirements • Architect solutions that meet client needs • Create delivery plans and estimate work required • Write technical content for proposals • Present Fidus’ resource capabilities and work approach • Discuss, promote, defend, and refine work approaches and estimates • Evaluate and partition solutions and programs into logical segments • Undertake project work as required • Help identify and develop new Fidus products • Help identify new areas of investment and research and development • Collaborate with FPGA/DSP, hardware, embedded software, verification, SI/PI, PCB layout, and mechanical/thermal design teams

🎯 Requisitos

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent • At least seven (7) years of design background in an AI/ML engineering role is ideally preferred, with significant experience deploying models into production • System-level design experience, including identifying architectural approaches and tradeoffs • Expert knowledge of the modern machine learning toolchain, including PyTorch or TensorFlow, ONNX, quantization, pruning, and compilation for deployment • Experience deploying inference on embedded and accelerated targets such as FPGA and adaptive SoC, GPU, or dedicated AI accelerators • Ability to reason about latency, throughput, power, and memory bandwidth tradeoffs • Experience designing with CUDA and/or ROCm • Familiarity with AI workload hardware and infrastructure, including high-speed interconnect, memory hierarchy, and thermal and power budgets • Ability to assess AI objective feasibility against available data and scope data pipeline, training, and validation efforts • Some knowledge of FPGAs, hardware, and embedded software • Exposure to MLOps, including model versioning, monitoring, and production retraining, is an asset • Ability to undertake designs subject to ITAR or classified-information restrictions in the United States, or CGP or classified-information restrictions in Canada • Concise communication and writing skills • Excellent listening, understanding, and extrapolation skills • Professional and personable • Enjoys travel up to 6 weeks per year, typically within North America • Proven experience presenting to small-to-medium-sized groups • Position is based in the United States • Must be a U.S. person as defined under 22 CFR 120.62 or eligible for an export license • Must complete background checks

🏖️ Benefícios

• Comprehensive medical, dental, and vision plans • Matching 401(k) plan contributions • Annual profit-sharing bonus • Other supplementary benefits • Travel opportunities, anticipated to be up to 6 weeks per year, typically within North America • Accommodations available upon request during the selection process

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Desenvolvido por Lior Neu-ner. Adoraria receber seu feedback — entre em contato por DM ou pelo e-mail support@remoterocketship.com
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